Main Takeaway: Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Abstract: False negatives pose a critical challenge in vision-language pretraining (VLP) due to the many-to-many correspondence ...
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MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality. Abstract: False negatives pose a critical challenge in vision-language pretraining (VLP) due to the many-to-many correspondence ... Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ...
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Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ... Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement.
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This is the presentation of parer: RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction ...
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Relevant points collected here
- Abstract: False negatives pose a critical challenge in vision-language pretraining (VLP) due to the many-to-many correspondence ...
- Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ...
- MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality.
- This is the presentation of parer: RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction ...
- Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement.
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![[CVPR 2026]](https://i.ytimg.com/vi/YYRFWBM9x-g/mqdefault.jpg)
![[CVPR 2026] MUST](https://i.ytimg.com/vi/GGQ1YFcJdzE/mqdefault.jpg)
![[CVPR 2026] False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment](https://i.ytimg.com/vi/z6ih1SHjgd8/mqdefault.jpg)
